2027 Spring Co-op Bioinformatic Digital Data Scientist - Global Immunology, Waltham, MA
for section headings (e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to map sections accordingly.
We must not repeat job title as heading. No Job ID etc. Remove boilerplate.
We need to preserve all substantive info.
We need to include sections only when posting has real specific content. So we can have sections: About the role (maybe combine About The Job and About Sanofi?), Responsibilities (Main Responsibilities), Requirements/Qualifications (About You includes Basic Qualifications, Preferred Qualifications, Nice To Have), Skills (maybe from Preferred Qualifications?), Benefits (Why Choose Us?), Pay (Compensation), Schedule (maybe not present; duration is 6 months, but schedule not explicit; we have "Must be able to relocate ... work 40hrs/week, Monday to Friday". That's schedule info. So we can include Schedule section with that detail.
We must not create sections with filler like "commensurate with experience". For Pay we have actual range $27.00 - $35.00 hourly. So we can include Pay section with that.
We must not include "All compensation will be determined commensurate with demonstrated experience." That's filler? It's somewhat generic but still part of compensation description. The instruction: "never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD")". So we should avoid including that sentence if it's just filler. But we can keep the range and maybe omit the commensurate sentence. However we must preserve ALL substantive information; does that sentence count as substantive? It's somewhat generic but still part of compensation description. The instruction says not to include filler/placeholder text like "commensurate with experience". So we should omit that sentence. Keep the range.
Similarly for Benefits: "Why Choose Us" includes some descriptive text; we can keep that.
Schedule: we have "Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship." Also Duration: 6 months. So schedule section can include that.
We need to use - for any list of duties/requirements/benefits. So responsibilities list should be
. Requirements list also . Benefits maybe . Skills maybe . Pay maybe just . Schedule maybe
.
We must not use markdown code fences. Just raw HTML.
Let's craft.
First, maybe a short
for metadata like location and duration? The instruction: "do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." So we can include a
with location and duration maybe.
But we also have a Schedule section that includes work hours. Could combine location/duration in a short
before sections.
Let's output:
Location: Waltham, MA • Duration: 6 months
Then sections:
About the role
Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Spring Co-op to join our Bioinformatic Digital Data Scientist - Global Immunology team. The Global Immunology department in Sanofi, Vaccines R&D is seeking a highly motivated and organized Co-op student to join the Early-Stage Immunology group. This position will serve as an integral member of a research team responsible for supporting our Immunology and Vaccines organizations by supporting complex data entries in the electronic notebooks, analyzing biological datasets, developing computational models, and discovering insights through statistical and algorithmic techniques. Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you'll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams.
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving peoples lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve peoples lives.
But we might combine About the role and About Sanofi into one About the role? The instruction says prefer a few substantive sections over many thin ones. Could combine About The Job and About Sanofi into one "About the role" section. However they are distinct; but we could keep both as separate sections if they are substantive. Might be okay.
But we need to avoid too many thin sections. Let's think: we have About The Job (description of role), About Sanofi (company description), Responsibilities, About You (qualifications), Why Choose Us (benefits), Compensation, Schedule. That's 7 sections. Might be okay but maybe we can merge About The Job and About Sanofi into "About the role and company". However the instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should stick to those headings. So we need to map content to those headings.
Thus:
- About the role: combine About The Job and maybe some of About Sanofi? But About Sanofi is about company, not role. Could treat as About the role (includes role description and company context). That's fine.
- Responsibilities: Main Responsibilities.
- Requirements: Basic Qualifications.
- Qualifications: Preferred Qualifications and Nice To Have? Could combine.
- Skills: maybe from Preferred Qualifications (programming, statistics, biological concepts). Could be separate.
- Benefits: Why Choose Us.
- Pay: Compensation (range).
- Schedule: work hours and duration.
We must not create sections with filler. Ensure each section has substantive content.
Let's extract content.
About The Job paragraph(s):
"Looking to launch your career at thecutting edgeof healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivatedSpring Co-opto join our Bioinformatic Digital Data Scientist - Global Immunology team. The Global Immunology department in Sanofi, Vaccines R&D is seeking a highly motivated and organized Co-op student to join the Early-Stage Immunology group. This position will serve as an integral member of a research team responsible for supporting our Immunology and Vaccines organizations by supporting complex data entries in the electronic notebooks, analyzing biological datasets, developing computational models, and discovering insights through statistical and algorithmic techniques. Ready to grow your skills while helping shape the future of healthcare? At Sanofi, youll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams."
About Sanofi paragraph:
"Were an R&D-driven, AI-powered biopharma company committed to improving peoples lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve peoples lives."
We can combine them.
Responsibilities list:
- Develop and implement computational pipelines and analytical methods for processing large-scale immunological datasets from vaccine research and development programs.
- Quality check research data entries to the electronic notebooks.
- Be responsible for analyzing and interpreting complex biological data from various sources including genomic sequencing, proteomics, and immunological assays.
- Get trained and subsequently apply expertise in programming languages (Python/R), statistical analysis tools, and bioinformatics software to process and analyze high-throughput data.
- Has a strong commitment to data quality and reproducibility while establishing best practices in computational analysis and promoting robust documentation standards.
- Participate in code maintenance and pipeline optimization as required.
- Be responsible for data visualization, statistical analysis, and appropriate documentation through computational notebooks and version control systems.
- Actively participate in the project/group meetings through attendance, presentation of analytical results, and contributing to scientific discussions.
- May participate in the implementation of analytical pipelines for pre-clinical immunology groups.
- All work is performed in a collaborative research environment and will involve training in relevant computational tools, databases, and platforms used in vaccine research and development.
We need to turn each into - .
Requirements (Basic Qualifications):
- Currently pursuing a bachelors or masters degree in bioinformatics, Computational Biology, Data Science, Computer Science, or related field.
- Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.
- Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
- Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
- Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.
Note: the last bullet about relocation and work hours could also go to Schedule, but it's a requirement. We'll keep it in Requirements maybe, but we also need Schedule section. Could split: keep relocation/work hours in Schedule, and keep other qualifications in Requirements. However the bullet about relocation and work hours is also a requirement. We'll decide to put it in Schedule section (since it's about schedule). But we need to avoid duplication. Let's keep it in Schedule.
Thus Requirements bullets exclude that line.
Qualifications (Preferred Qualifications + Nice To Have):
PreferredQualifications:
- Coursework in statistics, programming, and biological sciences
- Basic programming skills in at least one language (Python, R, or similar).
- Understanding of biological concepts, particularly in immunology or related fields.
Nice To Have:
- Strong analytical and problem-solving skills.
- Proficient English Language Written, And Verbal Skills Are Required.
- Ability to work effectively in a collaborative team environment.
We could combine into Qualifications section.
Skills section: maybe we can extract skills from Preferred Qualifications: programming, statistics, biological concepts. But we already have them in Qualifications. Could make Skills separate: maybe list programming languages, statistical analysis, bioinformatics tools. But to avoid thin sections, maybe we skip Skills and keep Qualifications.
But the instruction says prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay, Schedule. That's 7 sections. Might be okay.
Benefits (Why Choose Us):
- Bring the miracles of science to life alongside a supportive, future focused team.
- Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.
- Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
- Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.
We can make
.
Pay: The salary range for this position is $27.00 - $35.00 hourly. We'll output Pay: $27.00 - $35.00 hourly
or just the range.
Schedule: Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship. Also Duration: 6 months. We'll include both.
Let's craft HTML.
We'll start with a short for location and duration? Actually duration is in Schedule. Location we could put in a short
before sections.
Let's do:
Location: Waltham, MA
Then sections.
Make sure to not include any
- . Requirements list also
- .
Requirements (Basic Qualifications):
- Currently pursuing a bachelors or masters degree in bioinformatics, Computational Biology, Data Science, Computer Science, or related field.
- Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.
- Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
- Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
- Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.
Note: the last bullet about relocation and work hours could also go to Schedule, but it's a requirement. We'll keep it in Requirements maybe, but we also need Schedule section. Could split: keep relocation/work hours in Schedule, and keep other qualifications in Requirements. However the bullet about relocation and work hours is also a requirement. We'll decide to put it in Schedule section (since it's about schedule). But we need to avoid duplication. Let's keep it in Schedule.
Thus Requirements bullets exclude that line.
Qualifications (Preferred Qualifications + Nice To Have):
PreferredQualifications:
- Coursework in statistics, programming, and biological sciences
- Basic programming skills in at least one language (Python, R, or similar).
- Understanding of biological concepts, particularly in immunology or related fields.
Nice To Have:
- Strong analytical and problem-solving skills.
- Proficient English Language Written, And Verbal Skills Are Required.
- Ability to work effectively in a collaborative team environment.
We could combine into Qualifications section.
Skills section: maybe we can extract skills from Preferred Qualifications: programming, statistics, biological concepts. But we already have them in Qualifications. Could make Skills separate: maybe list programming languages, statistical analysis, bioinformatics tools. But to avoid thin sections, maybe we skip Skills and keep Qualifications.
But the instruction says prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay, Schedule. That's 7 sections. Might be okay.
Benefits (Why Choose Us):
- Bring the miracles of science to life alongside a supportive, future focused team.
- Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.
- Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
- Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.
We can make
- .
Pay: The salary range for this position is $27.00 - $35.00 hourly. We'll output
Pay: $27.00 - $35.00 hourly
or just the range. Schedule: Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship. Also Duration: 6 months. We'll include both. Let's craft HTML. We'll start with a shortfor location and duration? Actually duration is in Schedule. Location we could put in a short
before sections. Let's do:
Location: Waltham, MA
Then sections. Make sure to not include any
- . Benefits maybe
- . Skills maybe
- . Pay maybe just
. Schedule maybe
. We must not use markdown code fences. Just raw HTML. Let's craft. First, maybe a short
for metadata like location and duration? The instruction: "do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." So we can include a
with location and duration maybe. But we also have a Schedule section that includes work hours. Could combine location/duration in a short
before sections. Let's output:
Location: Waltham, MA • Duration: 6 months
Then sections:About the role
Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Spring Co-op to join our Bioinformatic Digital Data Scientist - Global Immunology team. The Global Immunology department in Sanofi, Vaccines R&D is seeking a highly motivated and organized Co-op student to join the Early-Stage Immunology group. This position will serve as an integral member of a research team responsible for supporting our Immunology and Vaccines organizations by supporting complex data entries in the electronic notebooks, analyzing biological datasets, developing computational models, and discovering insights through statistical and algorithmic techniques. Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you'll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams.
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving peoples lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve peoples lives.
But we might combine About the role and About Sanofi into one About the role? The instruction says prefer a few substantive sections over many thin ones. Could combine About The Job and About Sanofi into one "About the role" section. However they are distinct; but we could keep both as separate sections if they are substantive. Might be okay. But we need to avoid too many thin sections. Let's think: we have About The Job (description of role), About Sanofi (company description), Responsibilities, About You (qualifications), Why Choose Us (benefits), Compensation, Schedule. That's 7 sections. Might be okay but maybe we can merge About The Job and About Sanofi into "About the role and company". However the instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should stick to those headings. So we need to map content to those headings. Thus: - About the role: combine About The Job and maybe some of About Sanofi? But About Sanofi is about company, not role. Could treat as About the role (includes role description and company context). That's fine. - Responsibilities: Main Responsibilities. - Requirements: Basic Qualifications. - Qualifications: Preferred Qualifications and Nice To Have? Could combine. - Skills: maybe from Preferred Qualifications (programming, statistics, biological concepts). Could be separate. - Benefits: Why Choose Us. - Pay: Compensation (range). - Schedule: work hours and duration. We must not create sections with filler. Ensure each section has substantive content. Let's extract content. About The Job paragraph(s): "Looking to launch your career at thecutting edgeof healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivatedSpring Co-opto join our Bioinformatic Digital Data Scientist - Global Immunology team. The Global Immunology department in Sanofi, Vaccines R&D is seeking a highly motivated and organized Co-op student to join the Early-Stage Immunology group. This position will serve as an integral member of a research team responsible for supporting our Immunology and Vaccines organizations by supporting complex data entries in the electronic notebooks, analyzing biological datasets, developing computational models, and discovering insights through statistical and algorithmic techniques. Ready to grow your skills while helping shape the future of healthcare? At Sanofi, youll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams." About Sanofi paragraph: "Were an R&D-driven, AI-powered biopharma company committed to improving peoples lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve peoples lives." We can combine them. Responsibilities list: - Develop and implement computational pipelines and analytical methods for processing large-scale immunological datasets from vaccine research and development programs. - Quality check research data entries to the electronic notebooks. - Be responsible for analyzing and interpreting complex biological data from various sources including genomic sequencing, proteomics, and immunological assays. - Get trained and subsequently apply expertise in programming languages (Python/R), statistical analysis tools, and bioinformatics software to process and analyze high-throughput data. - Has a strong commitment to data quality and reproducibility while establishing best practices in computational analysis and promoting robust documentation standards. - Participate in code maintenance and pipeline optimization as required. - Be responsible for data visualization, statistical analysis, and appropriate documentation through computational notebooks and version control systems. - Actively participate in the project/group meetings through attendance, presentation of analytical results, and contributing to scientific discussions. - May participate in the implementation of analytical pipelines for pre-clinical immunology groups. - All work is performed in a collaborative research environment and will involve training in relevant computational tools, databases, and platforms used in vaccine research and development. We need to turn each into